Main Objective
To develop an automatic algorithm to match two scans corresponding to the same shoe based on analysis of cross-section
In order to do this we need:
- Align images so we can identify the same cross-sections on all the shoes
- Identify the areas with the most potential for discrimination
- Extract cross-section signatures in such areas
- Study the correlationn of cross-section on both match and non-match pairs
- Use the cross-section signatures to construct informative features
- Fit and asses statistical models